Mixed‐Effects Models and Small Area EstimationShonosukeSugasawa and TatsuyaKubokavaSpringer Nature, 2023, viii + 121 pages, £39.99, paperback ISBN: 978‐981‐19‐9485‐2
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Abstract
International Statistical ReviewEarly View Book Review Mixed-Effects Models and Small Area Estimation Shonosuke Sugasawa and Tatsuya KubokavaSpringer Nature, 2023, viii + 121 pages, £39.99, paperback ISBN: 978-981-19-9485-2 Tapio Nummi, Corresponding Author Tapio Nummi [email protected] Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, FinlandSearch for more papers by this author Tapio Nummi, Corresponding Author Tapio Nummi [email protected] Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, FinlandSearch for more papers by this author First published: 20 October 2023 https://doi.org/10.1111/insr.12560Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Early ViewOnline Version of Record before inclusion in an issue RelatedInformation
期刊介绍:
International Statistical Review is the flagship journal of the International Statistical Institute (ISI) and of its family of Associations. It publishes papers of broad and general interest in statistics and probability. The term Review is to be interpreted broadly. The types of papers that are suitable for publication include (but are not limited to) the following: reviews/surveys of significant developments in theory, methodology, statistical computing and graphics, statistical education, and application areas; tutorials on important topics; expository papers on emerging areas of research or application; papers describing new developments and/or challenges in relevant areas; papers addressing foundational issues; papers on the history of statistics and probability; white papers on topics of importance to the profession or society; and historical assessment of seminal papers in the field and their impact.